Control system design for electrical stimulation in upper limb rehabilitation [electronic resource] : modelling, identification and robust performance / Chris Freeman.
2016
RC350.N48 F74 2016eb
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Title
Control system design for electrical stimulation in upper limb rehabilitation [electronic resource] : modelling, identification and robust performance / Chris Freeman.
ISBN
9783319257068 (electronic book)
3319257064 (electronic book)
9783319257044
3319257048
3319257064 (electronic book)
9783319257044
3319257048
Published
Cham : Springer, [2016]
Language
English
Description
1 online resource (xiii, 176 pages)
Item Number
10.1007/978-3-319-25706-8 doi
Call Number
RC350.N48 F74 2016eb
Dewey Decimal Classification
616.8/04645
Summary
This book presents a comprehensive framework for model-based electrical stimulation (ES) controller design, covering the whole process needed to develop a system for helping people with physical impairments perform functional upper limb tasks such as eating, grasping and manipulating objects. The book first demonstrates procedures for modelling and identifying biomechanical models of the response of ES, covering a wide variety of aspects including mechanical support structures, kinematics, electrode placement, tasks, and sensor locations. It then goes on to demonstrate how complex functional activities of daily living can be captured in the form of optimisation problems, and extends ES control design to address this case. It then lays out a design methodology, stability conditions, and robust performance criteria that enable control schemes to be developed systematically and transparently, ensuring that they can operate effectively in the presence of realistic modelling uncertainty, physiological variation and measurement noise.
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Includes bibliographical references.
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Print version: 9783319257044
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Table of Contents
Introduction.-Modelling and Identification
Combined FES & Robotic Upper Limb Dynamics
Model Identification
Feedback Control Design
Iterative Learning Control Design
Clinical Application: Multiple Sclerosis
Constrained ILC for Human Motor Control
Clinical Application: Goal-orientated Stroke Rehabilitation
Electrode Array-based Stimulation
Clinical Application: Fully Functional Stroke Rehabilitation
Conclusions and Future Research Directions.
Combined FES & Robotic Upper Limb Dynamics
Model Identification
Feedback Control Design
Iterative Learning Control Design
Clinical Application: Multiple Sclerosis
Constrained ILC for Human Motor Control
Clinical Application: Goal-orientated Stroke Rehabilitation
Electrode Array-based Stimulation
Clinical Application: Fully Functional Stroke Rehabilitation
Conclusions and Future Research Directions.